Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Image restoration by a novel method of parallel projection onto constraint sets

Not Accessible

Your library or personal account may give you access

Abstract

Image restoration from degraded observations and from properties that the image is supposed to satisfy has been approached by the method of projections onto convex constraint sets. Previous attempts have incorporated only partially the knowledge that we possess about the image to be restored because of difficulties in the implementation of some of the projections. In the parallel-projection algorithm presented here the a priori knowledge can be fully exploited. Moreover, the algorithm operates well even if the constraints are nonconvex and/or if the constraints have an empty intersection, without a limitation on the (finite) number of constraint sets.

© 1995 Optical Society of America

Full Article  |  PDF Article
More Like This
Learning in correlators based on projections onto constraint sets

Joseph Rosen
Opt. Lett. 18(14) 1183-1185 (1993)

Application of the projection-onto-constraint-sets algorithm for optical pattern recognition

Joseph Rosen and Joseph Shamir
Opt. Lett. 16(10) 752-754 (1991)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (2)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (14)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved